google-research / sputnikLinks
A library of GPU kernels for sparse matrix operations.
☆283Updated 5 years ago
Alternatives and similar repositories for sputnik
Users that are interested in sputnik are comparing it to the libraries listed below
Sorting:
- Assembler for NVIDIA Volta and Turing GPUs☆238Updated 4 years ago
- CUDA templates for tile-sparse matrix multiplication based on CUTLASS.☆50Updated 7 years ago
- ☆259Updated last year
- Training neural networks in TensorFlow 2.0 with 5x less memory☆137Updated 3 years ago
- SparseTIR: Sparse Tensor Compiler for Deep Learning☆142Updated 2 years ago
- AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming☆168Updated this week
- ☆145Updated last year
- Github mirror of trition-lang/triton repo.☆128Updated this week
- An extension library of WMMA API (Tensor Core API)☆109Updated last year
- Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)☆145Updated 5 years ago
- ☆112Updated last year
- ☆159Updated last year
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆127Updated last year
- Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018☆73Updated 5 years ago
- ☆164Updated last year
- A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores☆57Updated 2 years ago
- Research and development for optimizing transformers☆131Updated 4 years ago
- A Fusion Code Generator for NVIDIA GPUs (commonly known as "nvFuser")☆380Updated this week
- ☆189Updated last year
- CUDA Matrix Multiplication Optimization☆256Updated last year
- ☆175Updated 9 months ago
- extensible collectives library in triton☆95Updated 10 months ago
- PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections☆125Updated 3 years ago
- PyTorch emulation library for Microscaling (MX)-compatible data formats☆340Updated 7 months ago
- [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration☆199Updated 3 years ago
- System for automated integration of deep learning backends.☆47Updated 3 years ago
- Efficient Top-K implementation on the GPU☆192Updated 6 years ago
- ☆115Updated last year
- Shared Middle-Layer for Triton Compilation☆326Updated 2 months ago
- ☆104Updated last year